Modeling cyclic volatile methylsiloxanes removal efficiency from wastewater by ZnO-coated aluminum anode using artificial neural networks

Modeling cyclic volatile methylsiloxanes removal efficiency from wastewater by ZnO-coated aluminum anode using artificial neural networks

Usage of cyclic volatile methyl siloxanes (cVMSs) in the industrial process is unavoidable due to their superior properties; however, it is hazardous to human health. Photocatalytic zinc oxide coated aluminum anode is used to degrade the cVMSs in wastewater. In this work, we investigated the relatio...

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Bibliographic Details
Main Authors: B.S. Reddy, P.L. Narayana, A.K. Maurya, V. Gupta, Y.H. Reddy, Abdulwahed F. Alrefaei, Hussein H. Alkhamis, Kwon-Koo Cho, N.S. Reddy
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Journal of King Saud University: Science
Subjects:
cVMSs removal efficiency
Artificial neural networks
Quantitative
Wastewater
Photo-electrocatalysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1018364720304535

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http://www.sciencedirect.com/science/article/pii/S1018364720304535

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